Journal of Learning Analytics

Archived CfP: Special section on ethics and privacy in learning analytics

Special Section on Ethics and Privacy in Learning Analytics

Guest Editors

Hendrik Drachsler, Open Universiteit, The Netherlands

Maren Scheffel, Open Universiteit, The Netherlands

Rebecca Fergusson, The Open University, UK

Tore Hoel, Oslo and Akershus University College of Applied Sciences, Norway

The large-scale production, collection, aggregation, and processing of information from various learning platforms and online environments have led to ethical and privacy concerns regarding potential harm to individuals and society. In the past, these types of concern have impacted on areas as diverse as computer science, legal studies and surveillance studies.

Privacy is typically not very well defined in LAK and EDM papers. But the infamous inBloom case showed that privacy issues can be a showstopper for the application of learning analytics technologies. In order to make issues related to privacy more central to learning analytics application design, there is a need to unpack this concept in terms of its sociocultural context.

Topics include but are not limited to:

* Data ownership

* Data degradation

* Anonymisation of data

* Data security

* Data sharing

* Danger of linking datasets for privacy

* Context integrity

* Approaches to informed consents in the times of Big Data

* Expected changes to privacy due to Big Data

* Cross-cultural studies on privacy

* Transparency (purpose of analysis, raw data access, opt-out)

* Ethical considerations for learning analytics

SUBMISSION DETAILS

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Papers should be submitted through JLA’s online submission system at http://learning-analytics.info selecting „Special Section: Ethics and Privacy in Learning Analytics“. All submissions should follow JLA’s standard author guidelines (http://epress.lib.uts.edu.au/journals/index.php/JLA/information/authors) and use the journal’s submission template (http://www.solaresearch.org/wp-content/uploads/2014/05/JLA-style-sheet.docx). All submissions will undergo full peer review. Authors need to register with the journal prior to submitting.